Abstract
Development of Interactive Theorem Provers has led to the creation of big libraries and varied infrastructures for formal proofs. However, despite (or perhaps due to) their sophistication, the re-use of libraries by non-experts or across domains is a challenge. In this paper, we provide detailed case studies and evaluate the machine-learning tool ML4PG built to interactively data-mine the electronic libraries of proofs, and to provide user guidance on the basis of proof patterns found in the existing libraries.
Original language | English |
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Pages (from-to) | 99-116 |
Number of pages | 18 |
Journal | Mathematics in Computer Science |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2014 |
Keywords
- Interactive theorem proving
- Coq
- SSReflect
- Machine learning
- Clustering